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Monitor data support issues and pipelines within defined SLAs, troubleshoot and resolve problems using established guidelines, and escalate issues when appropriate. Document findings, provide daily and weekly status updates, improve support procedures, and collaborate with engineering, product, and client teams to maintain timely, high-quality data operations.

Own the end-to-end request process for proprietary web-scraped datasets, including gathering requirements, translating business needs into technical specifications, validating deliverables, and approving client-ready data. Use Python, SQL, MySQL, and PostgreSQL to create datasets, reports, and quality-control checks. Develop KPIs, QA processes, documentation, and workflow improvements while collaborating with investment teams, clients, and developers to resolve data-quality issues.

Design and implement Python-based automation for configuring data quality checks across vendor datasets. Use LLMs, documentation, and machine learning to identify critical fields and establish quality thresholds. Collaborate with data managers and software engineers to improve data-check coverage, resolve requirements, and support existing feeds. Develop dashboards tracking data quality coverage and compliance. The role requires enterprise Python development, Pandas-based transformations, SQL exposure, and preferably AWS, Kubernetes, S3, and Trino experience.

Design and maintain web scrapers for alternative datasets, clean and transform large data sets using Python and Pandas, and ingest data into databases or warehouses. Build scheduled workflows with Airflow, create quality-control checks, maintain alerting systems, investigate data incidents, and develop tools for the web-scraping platform. Collaborate with analysts and cross-functional teams to deliver reliable datasets and data products.

Lead fund accounting activities for private equity clients, including reconciliations, waterfall reviews, bank and partner account validation, financial statement review, discrepancy resolution, audit and tax preparation, and regulatory compliance. The role also requires client and vendor relationship management, accurate reporting, advanced Excel and data-handling skills, and effective collaboration with global teams under tight deadlines.

Design, maintain, and improve web scrapers for alternative datasets; clean, transform, validate, and load data into databases or warehouses; orchestrate pipelines with Airflow; and build quality checks, alerts, and data tools. Collaborate with analysts and cross-functional teams to define data requirements, investigate time-sensitive incidents, and support investment decision-making through reliable datasets and notifications.